The evaluation of our online multi-label classifier approach is grounded on the analysis of the performance trend lines over new incoming test samples which are used as pseudo-stream samples by sending them sample-wise into the evolving antecedent learning engine and incremental consequent parameter update algorithm listed in Algorithm REF .
Two basic measures, widely used in the multi-label classification community [1]}, serve as the basis for checking the classification performance of the multi-label classifier:
